fix python library dependencies

[bebechien]

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[gemini-code-assist]

Summary of Changes

Hello @bebechien, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request refines the setup instructions and dependency installations across several Jupyter notebooks. The changes ensure that all necessary Python libraries, such as kagglehub and transformers, are correctly installed and that user authentication steps, like logging into Hugging Face, are clearly presented. This improves the reliability and user experience of running these notebooks.

Highlights

• Dependency Management: Ensured that the kagglehub library is explicitly installed in notebooks where it is required, specifically in docs/core/gemma_library.ipynb and docs/paligemma/fine-tuning-paligemma.ipynb.
• Transformers Library Installation: Standardized the installation of the transformers library in docs/core/huggingface_text_finetune_qlora.ipynb to use the standard pip install transformers command, moving away from a specific Git branch installation.
• Hugging Face Login Instructions: Improved the clarity and placement of Hugging Face login instructions in docs/capabilities/vision/video-understanding.ipynb by reordering the code cell and adding a preceding markdown explanation.

Changelog

• docs/capabilities/vision/video-understanding.ipynb
  • Moved the Hugging Face login() code cell to appear after the pip install commands.
  • Added a preceding markdown cell to explicitly instruct users to log in to Hugging Face Hub.
• docs/core/gemma_library.ipynb
  • Added kagglehub to the pip install command for the gemma library.
• docs/core/huggingface_text_finetune_qlora.ipynb
  • Updated the transformers installation command to use the standard pip install transformers instead of a specific Git branch.
• docs/paligemma/fine-tuning-paligemma.ipynb
  • Added an explicit installation step for kagglehub with a preceding markdown explanation.

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[gemini-code-assist]

Code Review

This pull request addresses dependency issues across several notebooks, primarily by adding missing packages like kagglehub and updating the transformers installation method. The changes are logical and improve the setup process for these examples. I've added a couple of suggestions to enhance consistency and reproducibility by using upgrade flags and pinning a key dependency version.

[gemini-code-assist]

For consistency with other notebooks in the repository (e.g., fine-tuning-paligemma.ipynb) and to ensure the latest compatible versions of packages are installed, it's good practice to use the -U (or --upgrade) flag.

Suggested change

	"!pip install -q gemma kagglehub"
	"!pip install -U -q gemma kagglehub"

[gemini-code-assist]

To ensure reproducibility and prevent potential breakages from future transformers releases, it's advisable to specify a minimum compatible version. Other notebooks in this repository use "transformers>=4.53.0", which would be a good addition here for consistency.

Suggested change

	"%pip install transformers\n",
	"%pip install \"transformers>=4.53.0\"\n"